Catch up on the most viewed content on AI in radiology from 2023.
As we come to the end of 2023, we take a look back at the most well-viewed content on artificial intelligence (AI) with topics ranging from AI advances in cardiac imaging to emerging AI innovations with mammography, magnetic resonance imaging (MRI) and chest X-rays. Review the slideshow below to see highlighted content from the past year.
Deep Learning Model with DCE-MRI May Help Predict Proliferative Hepatocellular Carcinoma
May 20th 2024Incorporating dynamic contrast-enhanced MRI, a deep learning model demonstrated a 20 percent higher AUC in external validation testing than clinical factors alone and over a 17 percent higher AUC than radiological factors alone in predicting proliferative hepatocellular carcinoma (HCC).
CT Study: AI Algorithm Comparable to Radiologists in Differentiating Small Renal Masses
May 14th 2024An emerging deep learning algorithm had a lower AUC and sensitivity than urological radiologists for differentiating between small renal masses on computed tomography (CT) scans but had a 21 percent higher sensitivity rate than non-urological radiologists, according to new research.